Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range
of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous …

Metamodeling is becoming a rather popular means to approximate the expensive
simulations in today's complex engineering design problems since accurate metamodels …

Two-stage and query-based instance segmentation methods have achieved remarkable
results. However, their segmented masks are still very coarse. In this paper, we present …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

In this paper we focus on the anomaly detection problem for dynamic data streams through
the lens of random cut forests. We investigate a robust random cut data structure that can be …

Data acquisition in large‐scale scenes regularly involves accumulating information across
multiple scans. A common approach is to locally align scan pairs using Iterative Closest …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

This well-accepted introduction to computational geometry is a textbook for high-level
undergraduate and low-level graduate courses. The focus is on algorithms and hence the …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

This paper develops the multidimensional binary search tree (or kd tree, where k is the
dimensionality of the search space) as a data structure for storage of information to be …